Please use this identifier to cite or link to this item:
Title: MSGP: the first database of the protein components of the mammalian stress granules
Authors: Nunes, Catarina
Mestre, Isa
Marcelo, Adriana 
Koppenol, Rebekah
Matos, Carlos A. 
Nóbrega, Clévio 
Issue Date: 1-Jan-2019
Publisher: Oxford University Press
Project: FCT - project (ALG-01- 0145-FEDER-29480) “SeGrPolyQ” 
Algarve Biomedical Center (ABC) and the Município de Loulé 
French Muscular Dystrophy Association and Ataxia UK 
Serial title, monograph or event: Database
Volume: 2019
Issue: 1
Abstract: In response to different stress stimuli, cells transiently form stress granules (SGs) in order to protect themselves and re-establish homeostasis. Besides these important cellular functions, SGs are now being implicated in different human diseases, such as neurodegenerative disorders and cancer. SGs are ribonucleoprotein granules, constituted by a variety of different types of proteins, RNAs, factors involved in translation and signaling molecules, being capable of regulating mRNA translation to facilitate stress response. However, until now a complete list of the SG components has not been available. Therefore, we aimer at identifying and linting in an open access database all the proteins described so far as components of SGs. The identification was made through an exhaustive search of studies listed in PubMed and double checked. Moreover, for each identified protein several details were also gathered from public databases, such as the molecular function, the cell types in which they were detected, the type of stress stimuli used to induce SG formation and the reference of the study describing the recruitment of the component to SGs. Expression levels in the context of different neurodegenerative diseases were also obtained and are also described in the database. The Mammalian Stress Granules Proteome is available at, being a new and unique open access online database, the first to list all the protein components of the SGs identified so far. The database constitutes an important and valuable tool for researchers in this research area of growing interest.
ISSN: 1758-0463
DOI: 10.1093/database/baz031
Rights: openAccess
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais

Files in This Item:
Show full item record


checked on May 6, 2024


checked on May 2, 2024

Page view(s)

checked on May 21, 2024


checked on May 21, 2024

Google ScholarTM




This item is licensed under a Creative Commons License Creative Commons